Cognizant
Location
Chennai | India
Job description
MLOps Engineer
Key words -Skillset
Responsibilities
Job Responsibilities:
. Research and implement MLOps tools, frameworks and platforms for our Data Science projects.
. Work on a backlog of activities to raise MLOps maturity in the organization.
. Proactively introduce a modern, agile and automated approach to Data Science.
. Conduct internal training and presentations about MLOps tools' benefits and usage.
Required experience and qualifications:
. Wide experience with Kubernetes.
. Experience in operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube).
. Good understanding of ML and AI concepts. Hands-on experience in ML model development.
. Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit.
. Experience in CI/CD/CT pipelines implementation.
. Experience with cloud platforms - preferably AWS - would be an advantage.
Employee Status : Full Time Employee
Shift : Day Job
Travel : No
Job Posting : Feb 15 2024
About Cognizant
Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 185 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at or follow usJob tags
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